MiroMiro vs Supernova
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 MiroMiro leads with 526 upvotes
Copy any website's design & assets in one click
MiroMiro is a powerful Chrome extension designed for designers and developers seeking to streamline their workflow by quickly extracting website design assets. With just a hover, users can copy CSS styles, colors, fonts, and spacing from any webpage without opening complex developer tools. It also allows for effortless downloading of images, SVGs, and Lottie animations, making it a versatile tool for rapid prototyping and design iteration. Its ability to extract and export design tokens as Tailwind configs or CSS variables significantly accelerates the process of rebuilding or customizing website components. MiroMiro is ideal for teams aiming to analyze existing designs or reuse assets efficiently, eliminating the need to manually recreate styles from scratch. Its one-click asset extraction and compatibility with popular frameworks make it a standout solution for both designers and developers looking to boost productivity and shipping speed.
Pros
- Instantly copies CSS, colors, fonts, and spacing with hover
- One-click download of images, SVGs, and animations
- Export design tokens as Tailwind config or CSS variables
- No need to open DevTools, saving time and effort
- Supports rapid prototyping and design reuse
Cons
- Limited to Chrome browser, not available as a standalone app
- May struggle with highly complex or dynamically loaded websites
- Features depend on website structure; some assets may not be extractable
Best for
- • Reusing design assets from existing websites
- • Rapid prototyping by copying styles directly from competitors or inspiration sites
- • Extracting assets for UI design and development workflows
- • Creating consistent style guides and design tokens
Pricing: Likely based on a freemium model, offering core features for free with premium options for advanced asset management or export capabilities. Exact pricing details are not publicly specified but typically start with free access to basic functions.
All your data in Claude and Codex
Supernova is a powerful data integration and AI analysis platform designed for startups and data-driven teams. It connects seamlessly with popular business tools like Stripe, HubSpot, and PostgreSQL, enabling users to quickly access and analyze live data without relying on traditional BI stacks or extensive engineering support. By integrating directly with AI models such as Claude and Codex, Supernova allows anyone in a team to ask complex questions, investigate performance metrics, and perform deep data analyses effortlessly. Its user-friendly approach democratizes data insights, making advanced analytics accessible to non-technical users while maintaining the flexibility needed for sophisticated investigations. This tool is especially valuable for startups seeking rapid insights into revenue, pipeline, customer behavior, and operational metrics, all within the familiar environment of AI-powered interfaces.
Pros
- Easy integration with over 30 popular apps and data sources
- Empowers non-technical team members to perform complex analysis
- Leverages advanced AI models for natural language querying and insights
- Reduces dependency on engineering resources and traditional BI tools
- Real-time data connectivity for up-to-date insights
Cons
- Limited information on pricing and plans available publicly
- May require some setup time to connect multiple data sources
- Potential learning curve for users unfamiliar with AI-powered querying
Best for
- • Analyzing real-time revenue and sales pipeline performance
- • Investigating customer engagement and retention metrics
- • Performing operational analysis without heavy engineering involvement
- • Generating ad-hoc reports using natural language questions
Pricing: Likely operates on a subscription-based model with tiered plans, possibly including a freemium option, but specific pricing details are not publicly available. It appears targeted at startups and small teams seeking accessible data analysis tools.